Free Salesforce Data-Cloud-Consultant Test Practice Test Questions Exam Dumps [Q87-Q110]

NEW QUESTION 87
A company wants to include certain personalized fields in an email by including related attributes during the activation in Data Cloud. It notices that some values, such as purchased product names, do not have consistent casing in Marketing Cloud Engagement. For example, purchased product names appear as follows: Jacket, jacket, shoes, SHOES. The company wants to normalize all names to proper case and replace any null values with a default value.
How should a consultant fulfill this requirement within Data Cloud?

Create a streaming insight with a data action.

Use formula fields when ingesting at the data stream level.

Create one batch data transform per data stream.

Create one batch data transform that creates a new DLO.

To normalize purchased product names (e.g., converting casing to proper case and replacing null values with a default value) within Salesforce Data Cloud, the best approach is to create a batch data transform that generates a new DLO. Here’s the detailed explanation:
Understanding the Problem :
The company wants to ensure that product names in Marketing Cloud Engagement are consistent and properly formatted. The inconsistencies in casing (e.g., “Jacket,” “jacket,” “shoes,” “SHOES”) and the presence of null values need to be addressed before activation.
Why Batch Data Transform?
A batch data transform allows you to process large volumes of data in bulk, making it ideal for cleaning and normalizing datasets.
By creating a new DLO, you ensure that the original data remains intact while providing a clean, transformed dataset for downstream use cases like email personalization.
Steps to Implement This Solution :
Step 1: Navigate to the Data Streams section in Salesforce Data Cloud and identify the data stream containing the purchased product names.
Step 2: Create a new batch data transform by selecting the relevant data stream as the source.
Step 3: Use transformation functions to normalize the product names:
Apply the PROPER() function to convert all product names to proper case.
Use the COALESCE() function to replace null values with a default value (e.g., “Unknown Product”).
Step 4: Configure the batch data transform to output the results into a new DLO . This ensures that the transformed data is stored separately from the original dataset.
Step 5: Activate the new DLO for use in Marketing Cloud Engagement. Ensure that the email templates pull product names from the transformed DLO instead of the original dataset.
Why Not Other Options?
A . Create a streaming insight with a data action: Streaming insights are designed for real-time processing and are not suitable for bulk transformations like normalizing casing or replacing null values.
B . Use formula fields when ingesting at the data stream level: Formula fields are useful for simple calculations but are limited in scope and cannot handle complex transformations like null value replacement. Additionally, modifying the ingestion process may not be feasible if the data stream is already in use.
C . Create one batch data transform per data stream: This approach is inefficient and redundant. Instead of creating multiple transforms, a single batch transform can handle all the required changes and output a unified, clean dataset.
By creating a batch data transform that generates a new DLO, the company ensures that the product names are consistently formatted and ready for use in personalized emails, improving the overall customer experience.

NEW QUESTION 88
A Data Cloud consultant recently added a new data source and mapped some of the data to a new custom data model object (DMO) that they want to use for creating segments. However, they cannot view the newly created DMO when trying to create a new segment.
What is the cause of this issue?

Data has not yes been ingested into the DMO.

The new DMO is not of category Profile.

The new DMO does not have a relationship to the individual DMO

Segmentation is only supported for the Individual and Unified Individual DMOs.

NEW QUESTION 89
A Data Cloud consultant recently added a new data source and mapped some of the data to a new custom data model object (DMO) that they want to use for creating segments. However, they cannot view the newly created DMO when trying to create a new segment.
What is the cause of this issue?

Data has not yes been ingested into the DMO.

The new DMO is not of category Profile.

The new DMO does not have a relationship to the individual DMO

Segmentation is only supported for the Individual and Unified Individual DMOs.

NEW QUESTION 90
What should a user do to pause a segment activation with the intent of using that segment again?

Deactivate the segment.

Delete the segment.

Skip the activation.

Stop the publish schedule.

NEW QUESTION 91
Northern Trail Qutfitters wants to be able to calculate each customer’s lifetime value {LTV) but also create breakdowns of the revenue sourced by website, mobile app, and retail channels.
What should a consultant use to address this use case in Data Cloud?

Flow Orchestration

Nested segments

Metrics on metrics

Streaming data transform

NEW QUESTION 92
Cumulus Financial uses Data Cloud to segment banking customers and activate them for direct mail via a Cloud File Storage activation. The company also wants to analyze individuals who have been in the segment within the last 2 years.
Which Data Cloud component allows for this?

Nested segments

Segment exclusion

Calculated insights

Segment membership data model object

NEW QUESTION 93
Which data stream category type should be assigned in order to use the dataset for date and time-based operations in segmentation and calculated insights?

Individual

Engagement

Sales Order

プロフィール

NEW QUESTION 94
Which data model subject area should be used for any Organization, Individual, or Member in the Customer
360 data model?

Engagement

Membership

Party

Global Account

NEW QUESTION 95
A consultant is connecting sales order data to Data Cloud and considers whether to use the Profile, Engagement, or Other categories to map the DLO. The consultant chooses to map the DLO called Order-Headers to the Sales Order DMO using the Engagement category.
What is the impact of this action on future mappings?

A DLO with category Engagement can be mapped to any DMO using either Profile. Engagement, or Other categories.

When mapping a Profile DLO to the Sales Order DMO, the category gets updated to Profile.

Sales Order DMO gets assigned to both the Profile and Engagement categories when mapping a Profile DLO.

Only Engagement category DLOs can be mapped to the Sales Order DMO. Sales Order gets assigned to the Engagement Category.

NEW QUESTION 96
A new user of Data Cloud only needs to be able to review individual rows of ingested data and validate that it has been modeled successfully to its linked data model object. The user will also need to make changes if required.
What is the minimum permission set needed to accommodate this use case?

Data Cloud for Marketing Specialist

Data Cloud Admin

Data Cloud User

Data Cloud for Marketing Data Aware Specialist

新しい質問 97
What is a reason to create a formula when ingesting a data stream?

To concatenate files so they are ingested in the correct sequence

To add a unique external identifier to an existing ruleset

To transform is date time field into a dale field for use in data mapping

To remove duplicate rows of data from the data stream

新しい質問 98
A consultant is setting up Data Cloud for a multi-brand organization and is using data spaces to segregate its data for various brands.
While starting the mapping of a data stream, the consultant notices that they cannot map the object for one of the brands.
What should the consultant do to make the object available for a new data space?

Create a new data stream and map the second data stream to the data space.

Copy data from the default data space to a new DMO using the Data Copy feature and link this DMO to the new data space.

Create a batch transform to split data between different data spaces.

Navigate to the Data Space tab and select the object to be included in the new data space.

新しい質問99
The leadership team at Cumulus Financial has determined that customers who deposited more than $250,000 in the last five years and are not using advisory services will be the central focus for all new campaigns in the next year.
Which features support this use case?

Calculated insight and data action

Calculated insight and segment

Streaming insight and segment

Streaming insight and data action

新しい質問 100
Northern Trail Outfitters has the following customer data to ingest into Data Cloud and use for segmentation.
1. Propensity to purchase
2. Has active membership
3. Work email address
Which data types should the consultant use when ingesting this data?

Number, Text, URL

Percent, Boolean, Email

Number, Boolean, Text

Percent, Number, Email

新しい質問101
A healthcare client wants to make use of identity resolution, but does not want to risk unifying profiles that may share certain personally identifying information (PII).
Which matching rule criteria should a consultant recommend for the most accurate matching results?

Party Identification on Patient ID

Exact Last Name and Emil

Email Address and Phone

Fuzzy First Name, Exact Last Name, and Email

新しい質問 102
A customer has outlined requirements to trigger a journey for an abandoned browse behavior. Based on the requirements, the consultant determines they will use streaming insights to trigger a data action to Journey Builder every hour.
How should the consultant configure the solution to ensure the data action is triggered at the cadence required?

Set the activation schedule to hourly.

Configure the data to be ingested in hourly batches.

Set the journey entry schedule to run every hour.

Set the insights aggregation time window to 1 hour.

Individuals who purchased at least one of any red’ product and also purchased at least one pair of ‘shoes’

Individuals who purchased at least one ‘red shoes’ as a single line item in a purchase

Individuals who made a purchase of at least one ‘red shoes’ and nothing else

Individuals who purchased at least one of any ‘red’ product or purchased at least one pair of ‘shoes’

新しい質問 104
A customer needs to integrate in real time with Salesforce CRM.
Which feature accomplishes this requirement?

Streaming transforms

Data model triggers

Sales and Service bundle

Data actions and Lightning web components

The correct answer is A. Streaming transforms. Streaming transforms are a feature of Data Cloud that allows real-time data integration with Salesforce CRM. Streaming transforms use the Data Cloud Streaming API to synchronize micro-batches of updates between the CRM data source and Data Cloud in near-real time1. Streaming transforms enable Data Cloud to have the most current and accurate CRM data for segmentation and activation2.
The other options are incorrect for the following reasons:
* B. Data model triggers. Data model triggers are a feature of Data Cloud that allows custom logic to be executed when data model objects are created, updated, or deleted3. Data model triggers do not integrate data with Salesforce CRM, but rather manipulate data within Data Cloud.
* C. Sales and Service bundle. Sales and Service bundle is a feature of Data Cloud that allows pre-built data streams, data model objects, segments, and activations for Sales Cloud and Service Cloud data
* sources4. Sales and Service bundle does not integrate data in real time with Salesforce CRM, but rather ingests data at scheduled intervals.
* D. Data actions and Lightning web components. Data actions and Lightning web components are features of Data Cloud that allow custom user interfaces and workflows to be built and embedded in Salesforce applications5. Data actions and Lightning web components do not integrate data with Salesforce CRM, but rather display and interact with data within Salesforce applications.
参考文献
* 1: Load Data into Data Cloud
* 2: [Data Streams in Data Cloud]
* 3: [Data Model Triggers in Data Cloud] unit on Trailhead
* 4: [Sales and Service Bundle in Data Cloud] unit on Trailhead
* 5: [Data Actions and Lightning Web Components in Data Cloud] unit on Trailhead
* : [Data Model in Data Cloud] unit on Trailhead
* : [Create a Data Model Object] article on Salesforce Help
* : [Data Sources in Data Cloud] unit on Trailhead
* : [Connect and Ingest Data in Data Cloud] article on Salesforce Help
* : [Data Spaces in Data Cloud] unit on Trailhead
* : [Create a Data Space] article on Salesforce Help
* : [Segments in Data Cloud] unit on Trailhead
* : [Create a Segment] article on Salesforce Help
* : [Activations in Data Cloud] unit on Trailhead
* : [Create an Activation] article on Salesforce Help

新しい質問 105
An analyst from Cloud Kicks needs to get quick Insights to determine the average sales per day during the past week.
What should a consultant recommend?

salesforce flows

Lightning web component utilizing Query API

Salesforce reports

Segment activation to Azure

To help the analyst from Cloud Kicks determine the average sales per day during the past week, Salesforce Reports is the most efficient and straightforward solution. Here’s a detailed breakdown:
Understanding Salesforce Reports :Salesforce Reports is a native tool within the Salesforce platform that allows users to create, customize, and analyze data in various formats. It is particularly well-suited for quick insights and ad-hoc analysis without requiring complex development or integrations.
Why Not Other Options?
Option A (Salesforce Flows) : While Salesforce Flows is a powerful automation tool, it is not designed for analytical purposes. Creating a flow to calculate average sales per day would require additional configuration and logic, making it unnecessarily complex for this use case.
Option B (Lightning Web Component Utilizing Query API) : Using a Lightning Web Component with the Query API involves custom development. While this approach is flexible, it is overkill for a simple analytical task like calculating average sales.
Option D (Segment Activation to Azure) : Segment activation refers to exporting segmented customer data to external platforms like Azure. This process is unrelated to generating quick insights and would introduce unnecessary complexity for this requirement.
How Salesforce Reports Can Be Used :
Step 1: Create a Report : Navigate to the Salesforce Reports tab and create a new report based on the relevant object (e.g., Opportunities or Orders).
Step 2: Filter by Date Range : Apply a filter to include only records from the past week. For example, set the
“Close Date” field to “Last Week.”
Step 3: Add Summary Fields : Use summary formulas or grouping to calculate total sales for each day. Then, compute the average sales per day by dividing the total sales by the number of days in the range.
Step 4: Run the Report : Execute the report to view the results instantly.
Salesforce Documentation Reference :Salesforce’s official documentation highlights that Reports are the go-to tool for analyzing and summarizing data quickly. They are designed to provide actionable insights without requiring advanced technical skills, making them ideal for tasks like calculating average sales.
By leveraging Salesforce Reports, the analyst can efficiently obtain the required insights without additional development or integration efforts.

新しい質問 106
Northern Trail Outfitters is using the Marketing Cloud Starter Data Bundles to bring Marketing Cloud data into Data Cloud.
What are two of the available datasets in Marketing Cloud Starter Data Bundles?
答えを2つ選ぶ

Personalization

MobileConnect

Loyalty Management

MobilePush

新しい質問 107
What is the primary purpose of Data Cloud?

Providing a golden record of a customer

Managing sales cycles and opportunities

Analyzing marketing data results

Integrating and unifying customer data

新しい質問 108
The Data Cloud admin at Northern Trail Outfitters (NTO) wants to be proactively and immediately informed via Slack and email if any of the data streams fail for any reason. If this happens, a case should also be triggered as part of NTO’s existing support and triage process, and reflected in its global monitoring dashboard.
What should a consultant recommend for these requirements?

Data actions

Data Cloud Query Editor

Salesforce flows

Salesforce reports and dashboards

To meet the requirement of being proactively and immediately informed via Slack and email if any data streams fail, and to trigger a case as part of the support process, the best solution is to use Salesforce Flows .
Here’s why and how this works:
Understanding the Requirements :
The admin wants to be notified immediately via Slack and email when a data stream fails.
A case should also be created automatically to reflect the issue in the global monitoring dashboard.
This requires an automated process that integrates with both internal systems (e.g., Slack, email) and external workflows (e.g., case creation).
Why Salesforce Flows?
Salesforce Flows are highly flexible and can automate complex business processes. They can monitor system events (e.g., data stream failures) and trigger actions like sending notifications or creating records.
Flows can integrate seamlessly with Slack and email using platform events and action elements.
They can also create cases programmatically and update dashboards for real-time monitoring.
Steps to Implement This Solution :
Step 1: Navigate to Setup > Process Automation > Flows and create a new flow.
Step 2: Configure a Platform Event Trigger or Record-Triggered Flow to listen for data stream failure events.
Step 3: Add an action element to send a notification to Slack using the Slack Integration feature.
Step 4: Add another action element to send an email alert using the Send Email action.
Step 5: Add a step to create a Case record with details about the failure. Use predefined fields to populate relevant information (e.g., error message, timestamp).
Step 6: Update the global monitoring dashboard to reflect the newly created case. This can be done by linking the case to a report or dashboard component.
Why Not Other Options?
A). Data actions: While data actions can perform specific tasks on data, they are not designed for cross-system automation like sending Slack notifications or creating cases.
B). Data Cloud Query Editor: The Query Editor is used for querying and analyzing data but does not provide automation capabilities for notifications or case creation.
D). Salesforce reports and dashboards: Reports and dashboards are for visualizing data, not for triggering actions or automating workflows.
By using Salesforce Flows, NTO can achieve a fully automated and integrated solution that meets all the stated requirements.

新しい質問 109
A customer notices that their consolidation rate has recently increased. They contact the consultant to ask why.
What are two likely explanations for the increase?
答えを2つ選ぶ

New data sources have been added to Data Cloud that largely overlap with the existing profiles.

Duplicates have been removed from source system data streams.

Identity resolution rules have been removed to reduce the number of matched profiles.

Identity resolution rules have been added to the ruleset to increase the number of matched profiles.

新しい質問 110
Which information is provided in a .csv file when activating to Amazon S3?

An audit log showing the user who activated the segment and when it was activated

The activated data payload

The metadata regarding the segment definition

The manifest of origin sources within Data Cloud

Free Salesforce Data-Cloud-Consultant Test Practice Test Questions Exam Dumps [Q87-Q110]